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AI boom
Development (sth about the Cold War)
AI winter
Down moment (apparently, we’re entering our third AI winter rn?)
N-grams
Predict the next word
Language Models
Tools that process and generate human-like text based on patterns in data. They understand text (how to classify or extract information), and generate text (ability to summarize, translate or answer questions). EX: chatbots, search engines
Why are LMs important?
Automation, accessibility and Efficiency.
What gives LMs their high efficiency?
Ability the process massive amounts of text quickly
LM’s automation?
Tasks like summarizing reports and answering FAQas
How come are LMs accessible?
They’re able to make complex text easier to understand
ELIZA (what is it + date)
Rule based system that relied on hard coded grammar rules and syntax. 1964
Trad models
Relied on rules, keywords, statistical patterns. Limited.
Modern models
AAE
Diffference trad and modern?
Trad is limited, no awareness of the context provided. Modern processes globally.
Where could Text Data & LM be applied?
Libraries and Archives, Policy and Governance, IS (deep dive on Notion and BS slides W1)